{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8c972974-17ae-4deb-a60c-5ca96deec9de",
   "metadata": {},
   "source": [
    "# Training the keypoint detector\n",
    "\n",
    "## Solution description\n",
    "\n",
    "I decided to tackle the problem of keypoints detection on a football pitch as a regression problem. \n",
    "Every keypoint is represented by three values: $x, y, v$, where $x$ and $y$ are the coordinates of the point and $v$ indicates if the point is actually visible on the given picture or not. Thus for each image my model outputs a tensor of shape `[n_of_keypoints, 3]`. The coordinates are normalized to be between 0 and 1. The visibility $v$ is also betweeen 0 and 1.\n",
    "\n",
    "The model is trained with a transfer learning technique. I used a pretrained efficient net b1 as a backbone, with weights frozen during the entire trainig. The backbone is folled with a few convolutional layer (there is no dense layer).\n",
    "\n",
    "### Loss function\n",
    "\n",
    "The model faces a challenge of not only predicting the position of a keypoint on the picture but also of predicting if the point is visible at all.\n",
    "What's more, for every picture there is statistically less keypoints visible than those which are not visible.\n",
    "\n",
    "I was adviced to use a teacher forcing technique, which means in this case that the model is not punished for incorrectly predicting coordinates of points which are not present at a given picture. It is important because due to my choice of the model's architecture it always *has to predict some $x$ and $y$ values* - one just shouldn't pay attention to them if they are not visible.\n",
    "\n",
    "I define the loss to be:\n",
    "\n",
    "\\begin{equation}\n",
    "L = \\lambda \\cdot PositionLoss + (1 - \\lambda) \\cdot CrossentropyLoss,\n",
    "\\end{equation}\n",
    "\n",
    "where $PositionLoss$ is a MSE loss calculated for the visible keypoints and $CrossentropyLoss$ is a cross entropy loss of predicting if a keypoint is visible. $\\lambda$ is a parameter weighting the importance of the two losses. \n",
    "I found $\\lambda = 0.95$ to give good results.\n",
    "\n",
    "### Data augmentation\n",
    "\n",
    "For the data augmentation I used geometric transformation: random rotation, random scale and random translation. I wrote this augmentation functions by my own. I decided not to use any other type of augmentation, e.g. changing color, contrast etc. I think that the dataset  is quite varied in terms of colors, some frames are darker, some are lighter, the grass has different colors etc.\n",
    "\n",
    "### Metrics\n",
    "\n",
    "As I suggested in my DataExploration notebook, to measure how well the model is dealing with insvisible keypoints I measured precision and recall of predicting that a keypoint is visible. Additionally, after each epoch I logged a graph into a Tensorboard, showing a confusion matrix calculated on a validation dataset.\n",
    "\n",
    "I also logged predictions showed on a few first validation images, to visually monitor if the model is improving.\n",
    "\n",
    "## Ideas for further improvement\n",
    "\n",
    "1. I tried training a detector on images which were passed through a line detector, resulting in grayscale images. I thought it might much easier for the model, but surprisingly I didn't notice any improvement. But I didn't put much time into this idea, so maybe after some parameters tweaks it would be actually better.\n",
    "\n",
    "2. I could detect lines and try to use them to transform te image so that the image would be laid on a flat map and train a keypoint detector on such a map. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8bf4b4b-5339-407a-be9d-bd97cab503e8",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "25b34be7-2547-4fd0-81ad-b7326986527d",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "from datetime import datetime\n",
    "from functools import partial\n",
    "import os\n",
    "from pathlib import Path\n",
    "\n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
    "\n",
    "from matplotlib import image\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import tensorflow as tf\n",
    "\n",
    "from pitch_geo import augmentation\n",
    "from pitch_geo.dataset import keypoints_dataset, tf_dataloaders\n",
    "from pitch_geo.models import models\n",
    "from pitch_geo.models.callbacks import LogConfusionMatrixCallback, LogPredictedImages\n",
    "from pitch_geo.models.loss import create_teacher_forced_loss\n",
    "from pitch_geo.models.metrics import VisiblePrecision, VisibleRecall\n",
    "import pitch_geo.vis_utils as vis_utils"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b34294f4-4690-437a-9880-f47d5d0a96d4",
   "metadata": {},
   "source": [
    "# Define hyperparameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f1490c67-ab2e-4eac-bd3b-3ac809af03ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "IMG_SIZE = 240\n",
    "BATCH_SIZE = 32\n",
    "EPOCHS = 2\n",
    "TEACHER_FORCING_WEIGHT = 0.95\n",
    "INITIAL_LEARNING_RATE = 1e-3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b52fe074-ff47-4b2f-80c4-675ff59d7d6d",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Read the data frame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca3d6e67-3a03-4313-a430-c620fab34fe4",
   "metadata": {},
   "source": [
    "# Prepare the data loaders"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85833830-68f2-4877-9480-5a86ce58b9a1",
   "metadata": {},
   "source": [
    "## Read the data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7d878534-6f0a-44c8-95c9-c7ad528db6e7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_dataset = keypoints_dataset.get_data(dataset='train')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be0e6a5e-90f0-48b7-8895-2843619be4b8",
   "metadata": {},
   "source": [
    "### Train / validation split\n",
    "\n",
    "Split the train data into proportion: 85% train set and 15% validation set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "280002d5-c089-4219-9769-df35f2099cb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df, val_df = train_dataset.split(test_size=0.15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0947a840-a91c-48d4-bf8a-c730dba3a74f",
   "metadata": {},
   "source": [
    "### Create the data loaders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "17a867a2-14a2-4e9d-9afd-cf1f047e8cb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data_builder = tf_dataloaders.KeypointsDatasetBuilder(\n",
    "    data_frame=train_df, \n",
    "    image_size=IMG_SIZE,\n",
    "    batch_size=BATCH_SIZE,\n",
    "    shuffle=True,\n",
    "    augmentation=augmentation.Sequential(\n",
    "        [\n",
    "            augmentation.RandomRotation(angle=10, scale=(0.5, 0.8), p=.5),\n",
    "            augmentation.RandomTranslation(limit=0.3, p=.5)\n",
    "        ]\n",
    "    )\n",
    ")\n",
    "train_ds = train_data_builder.build()\n",
    "\n",
    "val_data_builder = tf_dataloaders.KeypointsDatasetBuilder(\n",
    "    data_frame=val_df, \n",
    "    image_size=IMG_SIZE,\n",
    "    batch_size=BATCH_SIZE,\n",
    "    shuffle=False,\n",
    ")\n",
    "val_ds = val_data_builder.build()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d7eae22-ea9f-4299-8b5c-b61c91a1780f",
   "metadata": {},
   "source": [
    "Visualize data from the data loader to see it everything works fine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ed4bdd6d-c2f8-4f47-86f4-3d3e6a5d4bac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample_batch = next(iter(train_ds))\n",
    "        \n",
    "_ = vis_utils.show_image_with_annotations(\n",
    "    img = sample_batch[0].numpy()[0,:] / 255., \n",
    "    keypoints = sample_batch[1].numpy()[0,:], \n",
    "    labels = train_dataset.label_map,\n",
    "    dot_radius=3, \n",
    "    vis=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1c1541ea-af4f-4c65-82e4-6e70902c1cc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total batches in training set: 101\n",
      "Total batches in validation set: 18\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total batches in training set: {len(train_ds)}\")\n",
    "print(f\"Total batches in validation set: {len(val_ds)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f989f5a-b5ad-4d19-acae-6b39f497e08f",
   "metadata": {
    "tags": []
   },
   "source": [
    "# The model\n",
    "\n",
    "## Get the model\n",
    "\n",
    "The model is built with the `get_model` function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7d175d49-9ada-4abb-9b1e-4eaa3a39ad57",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/keras-applications/efficientnetb1_notop.h5\n",
      "27018416/27018416 [==============================] - 3s 0us/step\n"
     ]
    }
   ],
   "source": [
    "model = models.get_model(img_size=IMG_SIZE, num_keypoints=train_dataset.num_keypoints, dropout=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "327bafbf-aca1-4b70-919e-225bb655ba4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"keypoint_detector\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_2 (InputLayer)        [(None, 240, 240, 3)]     0         \n",
      "                                                                 \n",
      " efficientnetb1 (Functional)  (None, 8, 8, 1280)       6575239   \n",
      "                                                                 \n",
      " conv2d (Conv2D)             (None, 8, 8, 512)         5898752   \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 4, 4, 256)         1179904   \n",
      "                                                                 \n",
      " conv2d_2 (Conv2D)           (None, 2, 2, 256)         262400    \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 2, 2, 256)         0         \n",
      "                                                                 \n",
      " conv2d_3 (Conv2D)           (None, 1, 1, 102)         104550    \n",
      "                                                                 \n",
      " reshape (Reshape)           (None, 34, 3)             0         \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 14,020,845\n",
      "Trainable params: 7,445,606\n",
      "Non-trainable params: 6,575,239\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3c88040-27e8-4f93-bbd0-dd3d1b7a9a28",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Define callbacks\n",
    "\n",
    "Callbacks used during the training loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d909deba-cf56-4276-9dc8-e48afc2bf109",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_base_path = Path('checkpoints')\n",
    "checkpoint_template_name = 'cp.ckpt'\n",
    "training_timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')\n",
    "model_path = model_base_path / training_timestamp / checkpoint_template_name\n",
    "log_dir = Path('logs') / training_timestamp\n",
    "\n",
    "model_checkpoint_callback = tf.keras.callbacks.ModelCheckpoint(\n",
    "    filepath=model_path,\n",
    "    monitor=\"val_loss\",\n",
    "    save_best_only=True,\n",
    "    save_weights_only=True,\n",
    "    mode=\"auto\",\n",
    "    save_freq=\"epoch\",\n",
    ")\n",
    "\n",
    "tensorboard_callback = tf.keras.callbacks.TensorBoard(\n",
    "    log_dir=log_dir,\n",
    "    write_graph=False\n",
    ")\n",
    "\n",
    "reduce_lr = tf.keras.callbacks.ReduceLROnPlateau(\n",
    "    monitor='val_loss', \n",
    "    factor=0.2,\n",
    "    patience=5, \n",
    "    min_delta=0.0001,\n",
    "    min_lr=0.000001,\n",
    "    verbose=1\n",
    ")\n",
    "\n",
    "early_stopping = tf.keras.callbacks.EarlyStopping(\n",
    "    monitor='val_loss',\n",
    "    patience=8,\n",
    "    min_delta=0.00001,\n",
    "    verbose=1,\n",
    ")\n",
    "\n",
    "log_cm = LogConfusionMatrixCallback(model, log_dir, val_ds)\n",
    "cm_callback = tf.keras.callbacks.LambdaCallback(on_epoch_end=log_cm)\n",
    "\n",
    "log_predicted_images = LogPredictedImages(model, log_dir, val_ds, labels=train_dataset.label_map)\n",
    "log_images_callback = tf.keras.callbacks.LambdaCallback(on_epoch_end=log_predicted_images, grid_size=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9f4d0da-d987-424a-a930-abd106e2ff76",
   "metadata": {},
   "source": [
    "## Train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bf3d5d2f-5b03-46be-a6b1-8641719bd60e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: <object object at 0x7f4c244f39e0>\n",
      "Epoch 1/2\n",
      "18/18 [==============================] - 4s 131ms/steposs: 0.0195 - visible_precision\n",
      "1/1 [==============================] - 2s 2s/step\n",
      "101/101 [==============================] - 43s 316ms/step - loss: 0.0195 - visible_precision: 0.8015 - visible_recall: 0.6097 - val_loss: 0.0083 - val_visible_precision: 0.9441 - val_visible_recall: 0.8733 - lr: 0.0010\n",
      "Epoch 2/2\n",
      "18/18 [==============================] - 2s 126ms/steposs: 0.0104 - visible_precisio\n",
      "1/1 [==============================] - 0s 38ms/step\n",
      "101/101 [==============================] - 24s 235ms/step - loss: 0.0104 - visible_precision: 0.8854 - visible_recall: 0.8528 - val_loss: 0.0066 - val_visible_precision: 0.9530 - val_visible_recall: 0.9170 - lr: 0.0010\n"
     ]
    }
   ],
   "source": [
    "%matplotlib\n",
    "\n",
    "model.compile(\n",
    "    loss=create_teacher_forced_loss(weight=TEACHER_FORCING_WEIGHT),\n",
    "    optimizer=tf.keras.optimizers.Adam(INITIAL_LEARNING_RATE),\n",
    "    metrics=[\n",
    "        VisiblePrecision(),\n",
    "        VisibleRecall(),\n",
    "    ],\n",
    ")\n",
    "\n",
    "history = model.fit(\n",
    "    train_ds,\n",
    "    validation_data=val_ds,\n",
    "    epochs=EPOCHS,\n",
    "    callbacks = [\n",
    "        model_checkpoint_callback,\n",
    "        tensorboard_callback,\n",
    "        reduce_lr,\n",
    "        early_stopping,\n",
    "        cm_callback,\n",
    "        log_images_callback\n",
    "    ],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b98d7e2d-9e70-4c8f-a60b-6f206b24939b",
   "metadata": {},
   "source": [
    "## Tensorboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f35a7bb0-846b-4a33-bc8d-3c7e18472419",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment those lines to use Tensorboard inside the notebook\n",
    "\n",
    "# %load_ext tensorboard\n",
    "# %tensorboard --logdir logs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08fc4acc-d6fa-472f-ab12-7f1d9876cc81",
   "metadata": {},
   "source": [
    "## Reread the best model and save it to SavedModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "37a58dab-177b-466f-9864-7031ed89a867",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 119). These functions will not be directly callable after loading.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: checkpoints/20230112_184013/saved_model/assets\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: checkpoints/20230112_184013/saved_model/assets\n"
     ]
    }
   ],
   "source": [
    "model = models.get_model(img_size=IMG_SIZE, num_keypoints=train_dataset.num_keypoints, dropout=0.1)\n",
    "model.load_weights(model_path)\n",
    "model.save(model_path.parent / 'saved_model')"
   ]
  }
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